Data Scientist

Essential Duties And Functions

• Analyze data: assessing quality, profiling, cleansing, exploratory data analysis and the transformation of large and complex datasets to be utilized for developing the statistical models.
• Understand business use case requirements and develop appropriate machine learning algorithms to provide solutions to the business problems.
• Design and develop different statistical modeling techniques such as regression, classification models, anomaly detection models, clustering models, deep learning models and feature reduction etc. to derive actionable insights.
• Build, test, validate models through various relevant methodologies, error metrics and calibration techniques.
• Develop and maintain data visualizations to communicate insights and recommendations to stakeholders.
• Work with cloud analytic platforms on AWS/ Azure using PySpark, Sagemaker, Snowflake, Azure Synapse Analytics, etc.
• Perform multiple tasks and deal with changing deadline requirements. This includes knowing when to escalate issues. Maintain a focused, flexible, organized, proactive and positive behavior and approach.
• Proactively provide recommendations to the business based on the insights derived from data science modeling techniques to resolve business problems.
• Communicate data science models’ complex results and the insights to the non-technical audiences.
• Interact with cross-functional technical teams and multiple business stakeholders to support integration of data science solutions into the business processes.
• Developed and implemented Gen AI use cases.

Experience, Qualifications, Knowledge, And Skills

• Master's or PhD degree in Computer Science, Statistics, Mathematics, or a related field preferred.
• 3+ years of experience in data science, machine learning, or a related field.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with statistical analysis and modeling.
• Experience with data visualization tools such as Tableau or Power BI.
• Experience with database technologies such as SQL, NoSQL, or MongoDB.
• Strong problem-solving skills and the ability to analyze complex data sets.
• Excellent communication skills and the ability to present technical concepts to non-technical stakeholders.
• Gen AI experience is a must.

Location and Workplace Flexibility: We have offices in Atlanta GA, Boston MA, Morristown NJ, Plano TX, St. Louis MO, St. Petersburg FL, and Hyderabad, India. We foster a hybrid and remote friendly culture and all of our employee's work locations are based on the needs of the position and determined by the Leadership team. In-office work and activities, if applicable, vary based on the work and team objectives in accordance with Company policies.

Commitment to Diversity, Equity, Inclusion, and Belonging

At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know that a sense of belonging is key not only to your success at Zelis, but also to your ability to bring your best each day.

Equal Employment Opportunity

Zelis is proud to be an equal opportunity employer. All applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

We encourage members of traditionally underrepresented communities to apply, even if you do not believe you 100% fit the qualifications of the position, including women, LGBTQIA people, people of color, and people with disabilities.

Accessibility Support

We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email

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